Welcome to DDSC / Lizard

Dike Data Service Center is an operational system for storing and retrieving water data. It contains the complete water system in assets, timeseries and raster data.

DDSC is build with Lizard. The terms _DDSC_ and _Lizard_ can be used interchangeably.

  • Assets: water-related objects such as pump stations, levees, polders, etc. This list is under development. As Lizard grows, more assets will be added.
  • Timeseries: water-related sequences of measurements with metadata. Measurements may be aggregated for fast retrieval. Timeseries also contain metadata and have a many-to-one relationship with a location.
  • Locations: contain the geo metadata of timeseries and may be related to an asset.
  • Rasters: geospatially continuous, optionally time-varying, scalar or categorized gridded data; for example: digital elevation models, flood depths, radar precipitation measurements, satellite imagery, landcover classification, etc.

All data in Lizard is owned by an organisation and is either public, common, private or hidden (for a description of these so-called access modifiers, see Authorisation). Users may be part of multiple organisations. Within these organisations, they may have an admin role, which allows them to write data for that organisation.

Lizard is under development: some resources are experimental and some resources and parts of responses are deprecated. Usage of these parts of Lizard is not recommended. Please refer to the full list of resources available through the REST API for more information on the deprecation policy and what resources and responses are considered stable.

Lizard can be accessed and queried through the REST API. Supplying or storing data in Lizard is possible in four ways:

Supplying and retrieving data via the REST API is preferred over SFTP and Socket. For more information on datasupply see: Supply.

Getting started

Visit the FAQ for examples on how to interact with the REST API via your browser.

Go to Examples to dive in retrieving and supplying data programmatically using the REST API (examples are in Python).

The REST API at https://api.ddsc.nl/api/v2/ is browsable and documented.